Mapilio's platform creates smart map data using street-level images.
Mapilio processes thousands of kilometers of data captured every day around the world, analyzes objects and creates meaningful map data
8.352.331KM | 83+ Countries | 591+ Classes |
---|---|---|
![]() |
Collect images with common and easy-to-use devices such as smartphones, action cameras, and 360° cameras.
Contribute with your captures, manage map data, and bring it all to your mapping and GIS workflows with our apps and tools.
Let AI speed things up.
Cut down on human-workload and keep up with change by using machine ‑ extracted map features.
Capture your own street-level imagery
Capture imagery with any kind of camera to put places on the map through a collaborative street-level view of the world.
Start capturing nowCheckout best street-level imagery on popular destinations.
Toronto![]() Traffic Sign detection. see data on map |
Frankfurt![]() Shop sign detection. see data on map |
Australia![]() Electric pole detection. see data on map |
Ireland![]() Trash detection. see data on map |
Latvia![]() Pothole detection. see data on map |
Contribute and make publicly available your street-level image and map data on the Mapilio platform. Data available on the map platform
Mapilio is a platform consisting of images made by individuals. Contribute to the strengthening of our community and the improvement of the quality of our maps. Both individuals and organizations can benefit from these inputs.
Benefit from the platform's overall database, which gets richer as each member contributes. Like a sports team, every individual's performance makes your life easier.
Let the database of members' images contribute to common mapping applications used around the world, like OpenStreetMap let's make sure everyone has access to better maps.
All cameras with GPS Function can be used. From smartphones to professional devices are suitable.
You can upload but it will be useless for mapping because our system needs multiple photos with different angles.
Before uploading photos to maps, we should check all of them regarding privacy and security aspects. From a few hours to a few days you can find them on maps.
We have confirmation function for people who are captured in uploaded photos. They can confirm or deny to be seen in these photos. Our artificial intelligence technology can also blur faces or license plates. Furthermore, military fields are always blurred by us.
In Mapilio we have two types of earning possibilities. You can join our #CompleteMap challenges or fulfill the demands of our customers for target areas.
The easiest way to win at Mapilio is to participate in competitions. By uploading photos to our system, you can gain coupons or money. Main aim of these competitions is encouraging people to contribute in their area and is called #CompleteMap challenge.
All you have to do is capturing images in the challenge area, with the aim to cover all unmapped roads and paths with some additional characteristics.
A global leaderboard will allow you to compare your local contributions with other participants. The leaderboard will have a scoring system that will take into account multiple elements of contribution. Here are the variables that make up the score:
The formula to calculate the score is as follows:
Score = (total UKM contributed + (images/1000)) * (1 + (count of participants/10))
There is no limitation. You can take and upload photos as much as you want. But we suggest a maximum of 2 Gb of data size for images and 1 Gb for video files.
No, we have only rights to use your photos. Full rights of photos will always be yours.
Access street-level imagery and map data from all over the world. Fill in the gaps by capturing coverage yourself
Use Mapilio public imagery. You don’t need a license for imagery you contributed.
Find images that show certain objects. You’ll get a dataset of image locations.
Position objects automatically on the map. You’ll get a dataset of object locations.
Mapilio is an independent provider of street-level imagery and map data, not affiliated with OpenStreetMap or any specific map platform.